/Python/Spacy text annotation dict comprehension

Spacy text annotation dict comprehension

import spacy
nlp = spacy.load('en_core_web_sm') # or some other model

text_to_be_annotated = nlp('Put your long to-be-annotated text here')

# pos: part-of-speech tagging
# lemma: base form of the word
# vector: embedding of the token (optional)
annotated_text = {token : (token.pos_, token.lemma_, token.vector) 
                  for token in text_to_be_annotated}

Source: jupyterhub.yadasup.development.te.int

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